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As a Product Manager on the Enterprise ML Tooling product team, you will be the voice of the customer – data scientists and engineers at Capital One – and identify cutting-edge technologies to help them deliver next-generation capabilities to market. You’ll collaborate with a cross-functional team of product managers, engineers, and designers to define requirements and drive delivery of high value solutions to the enterprise.
Specific responsibilities include, but are not limited to:
Develop and communicate the product vision for key ML and Generative AI capabilities.
Prioritize the product backlog to maximize business and customer outcomes.
Incorporate design thinking and analytics to inform product design.
Facilitate collaboration and communication between teams.
Maintain a healthy backlog of work and play a critical role in many agile ceremonies.
Keep the team unblocked by escalating road-blocks and fast-tracking resolutions.
Serve as a critical connection between your customers and your team.
We want you if you are:
Passionate about building impactful products.
You deeply understand the needs of modern data scientists, machine learning engineers, and Generative AI practitioners.
You have experience shipping products powered by ML or GenAI
You have experience developing ML models
You have excellent oral and written communication skills.
You are a learner who is able to quickly get up to speed in a highly technical environment.
You are experienced working in an Agile environment.
You are a do-er who can also zoom out and think strategically.
You are highly collaborative and have the ability to influence and lead.
Basic Qualifications:
At least 3 years of experience working in Product Management
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
Preferred Qualifications:
Experience translating business strategy and analysis into consumer facing digital products
Bachelor’s Degree in Computer Science or Engineering
MBA or Master’s degree
3+ years of experience in Agile product management
Familiarity with Machine Learning lifecycle and Gen AI frontier
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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